Course Outline

Introduction

Overview of Microsoft Power Platform Features

  • Power Platform main components
  • Integration with Office 365, Dynamics 365, and third-party apps
  • Data sources and connectors

Getting Started with Microsoft Power Platform

  • Microsoft Dataverse basics (formally Common Data Service (CDS))
  • Tables and columns
  • Relationships and environments
  • Business rules
  • Power Platform admin center

Building Simple Applications with Power Apps

  • Connecting with common data sources
  • Different app types
  • No code artificial intelligence (AI)
  • Security, governance, and reporting features
  • Power Apps Portals

Creating Different Applications with Power Apps

  • Building a canvas app
  • Basic elements and functions
  • Connecting to a data source
  • Creating a model-driven app
  • Building blocks (data, user interface, logic, visualization)
  • Creating a form
  • Security and access control

Automating Processes with Power Automate

  • Flow types
  • Flow templates
  • Recurring flows
  • Button flow
  • Approval requests
  • Business process flow

Generating Reports and Dashboards with Power BI

  • Power BI parts, concepts, and capacities
  • Components (workspaces, datasets, reports, dashboards)
  • Template apps
  • Visualizations (charts, KPIs, maps, matrices, etc.)
  • Data filters and buttons
  • Transforming and cleaning data
  • Working with aggregates
  • Security and administration
  • Building a simple dashboard

Creating Chatbots with Power Virtual Agents

  • Key components
  • Creating a chatbot
  • Working with topics
  • Testing and publishing
  • Analyzing a chatbot

Exploring Advanced Power Platform Topics

  • Administration guide
  • Application lifecycle management
  • Power Platform best practices
  • AI Builder

Troubleshooting

Summary and Conclusion

Requirements

  • A general understanding of Microsoft Office 365 and Dynamics 365 concepts
  • Familiarity with app development, workflow automation, and data analysis

Audience

  • Business staff
  • Managers
  • Developers
  • Data analysts
  14 Hours
 

Testimonials

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